RealAML Saves One Year in Development Time with Machine Learning Models

A Amazon Web Services Case Study

Case study about RealAML working with Amazon Web Services.

RealAML

Jordan McCown

Managing Director

RealAML is a New Zealand-based identity and biometric platform that provides global real-time identity checks and fully outsourced Anti Money Laundering (AML) checks. In need of Optical Character Recognition (OCR) templates for over 100 passport types, the startup knew that its speed to market hinged on the speed of its development process. To ensure the timely launch of its FaceMatch solution, RealAML procured GTRIIP’s Passport Data Page Detection API pre-trained machine learning model from AWS Marketplace, which is deployed in Amazon SageMaker. GTRIIP’s model eliminated the need for RealAML to develop the OCR templates for individual countries, saving the company an entire year in development time. AWS Marketplace also provided flexible pricing without minimum monthly commitments or setup costs, shoring up funds that RealAML reinvested into product development.


Amazon Web Services

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